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Laminar Security

Freemium
Laminar Security
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Models · Large Language Models

LLM security & compliance

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About Laminar Security

What this tool does and how it can help you

Platform focused on security and compliance for LLM applications, helping ensure data protection.

Prompts for Laminar Security

Challenges using Laminar Security

Key Capabilities

What you can accomplish with Laminar Security

Tracing and Observability

OpenTelemetry-based automatic tracing of AI frameworks (LangChain, OpenAI, Anthropic) with just 2 lines of code. Tracks input/output, latency, cost, token count, and provides real-time traces via gRPC for optimal performance.

Dynamic Graph IDE

Graphical user interface to build LLM applications as dynamic graphs. Acts as an integrated development environment where developers can build cyclical flows, route to different tools, and collaborate in real-time. Generates abstraction-free code from graphs.

Evaluation Platform

Build fast and custom evaluators without managing evaluation infrastructure. Run evals on hosted datasets, set up online evaluations using LLM-as-a-judge or custom Python scripts for scalable span labeling.

Data Management Infrastructure

Robust data management with built-in vector search over datasets and files. Data can be ingested into LLMs and LLMs can write back to datasets, creating a self-improving data flywheel. Export production traces to datasets for evaluations and fine-tuning.

Tool Details

Technical specifications and requirements

License

Freemium

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Supported Languages

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Works Well With

Curated combinations that pair nicely with Laminar Security for faster experimentation.

We're mapping complementary tools for this entry. Until then, explore similar tools above or check recommended stacks on challenge pages.